Andrew Ng的Machine Learning课程,在网易公开课上有中文版视频http://v.163.com/special/opencourse/machinelearning.html,六维上也有资源可以下载。
引言
machine learning 定义1:Field of study that gives computers the ability to learn without being explicitly programmed.
machine learning 定义2:A computer program is said to learn from experience E with respect to some tast T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
课程主要包括四个部分:
1:Supervised Learning监督学习
Regression回归
Classification分类
2:Learning Theory学习理论
理解学习算法how and why work
3:Unsupervised Learning非监督学习
Clustering聚类
主要应用:基因分析、图像处理、社交网络分析、市场划分...
4:Reinforcement Learning强化学习
需要做一系列决策(例如:无人驾驶飞机,机器人领域),设置reward function